Peter H. Bartels

202 papers receiving 4.7k citations

Peter H. Bartels's Hit Papers

Field Ion Microscopy, Principles and Applications 1970 · 512 citations
5120+18+37Years since publication100200300400500

Peers

Peter H. Bartels
Comparison fields: 5 of 193
  • Biophysics 334
  • Structural Biology 49
  • Cognitive Neuroscience 606
  • Artificial Intelligence 880
  • Computer Vision and Pattern Recognition 472
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Countries citing papers authored by Peter H. Bartels

Since Specialization
Citations

This map shows the geographic impact of Peter H. Bartels's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Peter H. Bartels with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter H. Bartels more than expected).

Fields of papers citing papers by Peter H. Bartels

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter H. Bartels. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Peter H. Bartels. The network helps show where Peter H. Bartels may publish in the future.

Co-authors

The 25 scholars most cited alongside Peter H. Bartels, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Peter H. Bartels Line = papers co-authored together Peter H. Bartels links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 212 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Field Ion Microscopy, Principles and Applications
Hit paper breakdown →
1970512
2 1981318
3 1972243
4 1971229
5 1980219
6 1971175
7 1979156
8 2004146
9 2004145
10 1980141
11 2000123
12 200495
13 197192
14 198983
15 199779
16 198972
17 197061
18
Radiosensitivity of T and B lymphocytes. IV. Effect of whole body irradiation upon various lymphoid tissues and numbers of recirculating lymphocytes.
197761
19 201459
20 200452

About Peter H. Bartels

Peter H. Bartels is a scholar working on Artificial Intelligence, Molecular Biology, Radiology, Nuclear Medicine and Imaging, Biophysics and Computer Vision and Pattern Recognition, having authored 212 papers that have together received 5.1k indexed citations. Recurring topics across this work include AI in cancer detection (51 papers), Cell Image Analysis Techniques (19 papers), Ion channel regulation and function (13 papers), Radiomics and Machine Learning in Medical Imaging (13 papers), Cardiac electrophysiology and arrhythmias (8 papers), Digital Imaging for Blood Diseases (8 papers), Prostate Cancer Diagnosis and Treatment (8 papers) and Nonmelanoma Skin Cancer Studies (8 papers). The work is most often cited by research in Biophysics (334 citations), Structural Biology (49 citations), Cognitive Neuroscience (606 citations), Artificial Intelligence (880 citations) and Computer Vision and Pattern Recognition (472 citations). Peter H. Bartels has collaborated with scholars based in United States, Italy and United Kingdom. Frequent co-authors include Frank H. Duffy, Erwin W. Müller, Tien T. Tsong, James L. Burchfiel, L.E. Samuels, Peter W. Hamilton, Rodolfo Montironi, George L. Wied, S. Tolansky and Giulio Sandini. Their work appears in journals such as The Journal of Pathology, Human Pathology, Journal of Histochemistry & Cytochemistry, Cancer Prevention Research and Cancer.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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